Senior Java API Engineer

IF YOU ARE

• A professional with 5+ years of experience in backend, integration, or platform engineering

• Srong in Java (primary) and Python (secondary)

• Experienced in designing, building, and maintaining microservices architectures

• Confident in the full API lifecycle — from design and implementation to deployment and support

• Skilled in building and consuming REST APIs

• Hands-on with event-driven integrations using Kafka, RabbitMQ, GraphQL, AWS SQS, or similar technologies

• Knowledgeable in event-driven architecture and asynchronous processing

• Experienced with MuleSoft (API development, integrations, connectivity, or advanced patterns)

• Familiar with AI-assisted coding tools such as Cursor, Windsurf, or Amp

• Aware of responsible AI practices, including data privacy, governance, and model evaluation

• Quick to learn and adopt new AI tools and integration technologies

• Experienced in MuleSoft automation or advanced MuleSoft design

• Capable of designing scalable, maintainable integration services and microservices

• Strong in integration patterns, messaging systems, and asynchronous workflows

• Able to design APIs that support complex business processes

• Effective in using AI tools to improve development speed and code quality

• Mindful of governance, security, and privacy considerations in integration solutions

• Strong in analytical thinking, problem-solving, and troubleshooting

• Able to collaborate effectively across engineering and platform teams

AND YOU WANT TO

• Design, build, and maintain integration services and microservices using Java or Python, along with other modern open-source frameworks

• Develop scalable APIs and event-driven integrations using technologies such as Kafka, RabbitMQ, GraphQL, AWS SQS, and others

• Use AI-assisted coding tools (e.g., Cursor, Windsurf, Amp) to accelerate development and reduce delivery cycle time

• Evaluate and adopt emerging AI tools that enhance productivity, code quality, and operational efficiency

• Design and implement agentic integrations and AI-powered automation that improves business processes

• Apply responsible AI practices, including data privacy, governance, and model evaluation

• Work with event-driven architecture and asynchronous processing

• Work with modern integration platforms and microservices ecosystems

• Engage with event-driven architectures and advanced messaging technologies

• Leverage AI-assisted development tools and emerging productivity solutions

• Build enterprise-grade integrations using Java and Python

• Work in cloud-enabled, CI/CD-driven engineering environments

Recruitment Process:

• CV Screening: Applications are reviewed within 24 hours.
• Pre-Screening Interview: A brief Q/A session (Automated or with a Recruiter) designed to learn more about your experience related to the required job position.
  1. Automated Session (Recommended) – You can complete this session on your own at a time that is convenient for you. The questions and follow-ups are well-structured and designed to highlight your experience and provide detailed insights into your background. This option is recommended because it's usually more detailed and allows us to provide feedback from the hiring manager faster.
  2. Session with a Recruiter – You can also have the session with a recruiter. The questions are the same, but the discussion may be a bit less detailed, and feedback might take a little longer.

• Shortlisting: Qualified candidates are presented to the hiring manager for review.
• Formal Interviews: On-site discussions with the hiring manager or project team, with feedback provided within 1-2 weeks.
• Offer and Onboarding: Successful candidates receive a formal offer and begin a structured onboarding process.

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